{"id":"W4243781024","doi":"10.3905/jfi.2003.319340","title":"Credit Gadgets","year":2003,"lang":"en","type":"article","venue":"The Journal of Fixed Income","topic":"Credit Risk and Financial Regulations","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Gadget; Credit spread (options); Credit default swap index; Credit valuation adjustment; Credit crunch; Hedge; Business; Portfolio; Credit risk; Credit reference; Economics; Financial system; Finance; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001431322,0.0007986021,0.0006057656,0.001475235,0.001042297,0.00581038,0.001667332,0.00166198,0.07893187],"category_scores_gemma":[0.01144804,0.0005513613,0.0005877609,0.001361351,0.0008711913,0.004349682,0.003086633,0.001685428,0.01857735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008738334,"about_ca_system_score_gemma":0.0008998913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006362631,"about_ca_topic_score_gemma":0.0004832863,"domain_scores_codex":[0.9987834,0.0001802617,0.0000847645,0.0002063378,0.0005838913,0.0001613487],"domain_scores_gemma":[0.9966988,0.0005094789,0.0002666088,0.001286603,0.000805693,0.0004327257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007261944,0.0002056376,0.002526782,0.0002068881,0.00004085566,0.0003539479,0.0002043344,0.01531926,0.005327302,0.6065791,0.09271699,0.2757926],"study_design_scores_gemma":[0.0002474743,0.0003230555,0.001420343,0.0001865314,0.00004938951,0.001400874,0.0001188067,0.03072295,0.007868774,0.2949044,0.6626442,0.0001131307],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05337135,0.001822619,0.4872644,0.003326932,0.001186813,0.0009263514,0.004173627,0.01798539,0.4299425],"genre_scores_gemma":[0.5655214,0.001823287,0.1745904,0.001465248,0.0006195552,0.0006408086,0.004769953,0.002537614,0.2480317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07893187,"threshold_uncertainty_score":0.2640534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463998730150198,"score_gpt":0.2196766474110413,"score_spread":0.1950366601095393,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}